3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation

6 May 2024

Papers citing "3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation"

7 / 7 papers shown

Title
RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds Kang-Soo You Tong Chen Dandan Ding M. Salman Asif Zhan Ma 3DPC 49 0 0 16 Mar 2025
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation Ziliang Miao Runjian Chen Yixi Cai Buwei He Wenquan Zhao Wenqi Shao Bo-Wen Zhang Fu Zhang 3DPC 49 0 0 10 Mar 2025
HiMo: High-Speed Objects Motion Compensation in Point Clouds Qingwen Zhang Ajinkya Khoche Yi Yang Li Ling Sina Sharif Mansouri Olov Andersson Patric Jensfelt 3DPC 39 0 0 02 Mar 2025
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map Yue Pan Xingguang Zhong Liren Jin Louis Wiesmann Marija Popović Jens Behley C. Stachniss 3DGS 69 1 0 09 Feb 2025
Neural LiDAR Fields for Novel View Synthesis S. Huang Zan Gojcic Zian Wang Francis Williams Yoni Kasten Sanja Fidler Konrad Schindler Or Litany 70 45 0 02 May 2023
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way Ignacio Vizzo Tiziano Guadagnino Benedikt Mersch Louis Wiesmann Jens Behley C. Stachniss 3DPC 72 256 0 30 Sep 2022
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth Milad Ramezani Yiduo Wang Marco Camurri David Wisth Matías Mattamala Maurice F. Fallon 3DV 68 185 0 12 Mar 2020